Author:
Das Monidipa,Ghosh Soumya K.
Publisher
Springer International Publishing
Reference18 articles.
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2. Das, M., Ghosh, S.K.: BESTED: an exponentially smoothed spatial Bayesian analysis model for spatio-temporal prediction of daily precipitation. In: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 55. ACM (2017)
3. Das, M., Ghosh, S.K.: Spatio-temporal prediction of meteorological time series data: an approach based on spatial Bayesian network (SpaBN). In: International Conference on Pattern Recognition and Machine Intelligence, pp. 615–622. Springer, Berlin (2017)
4. Das, M., Ghosh, S.K.: Data-driven approaches for meteorological time series prediction: a comparative study of the state-of-the-art computational intelligence techniques. Pattern Recognit. Lett. 105, 155–164 (2018)
5. Das, M., Ghosh, S.K.: FB-STEP: a fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data. Expert Syst. Appl. 117, 211–227 (2019)